From f9dd9b5b502866ef45d7bf6439785f31cc09954a Mon Sep 17 00:00:00 2001 From: Scott Schneider Date: Mon, 25 Nov 2024 10:54:49 -0500 Subject: [PATCH] Simpler experiment names (#411) --- benchmarks/decoders/benchmark_decoders.py | 21 +- .../decoders/benchmark_decoders_library.py | 163 +++++++++------ .../decoders/benchmark_readme_chart.png | Bin 172005 -> 163507 bytes .../decoders/benchmark_readme_data.json | 192 +++++++++--------- 4 files changed, 212 insertions(+), 164 deletions(-) diff --git a/benchmarks/decoders/benchmark_decoders.py b/benchmarks/decoders/benchmark_decoders.py index 23f45dab..26331806 100644 --- a/benchmarks/decoders/benchmark_decoders.py +++ b/benchmarks/decoders/benchmark_decoders.py @@ -7,10 +7,13 @@ import argparse import importlib.resources import os +import platform import typing from dataclasses import dataclass, field from pathlib import Path +import torch + from benchmark_decoders_library import ( AbstractDecoder, BatchParameters, @@ -167,7 +170,7 @@ def main() -> None: if entry.is_file() and entry.name.endswith(".mp4"): video_paths.append(entry.path) - df_data = run_benchmarks( + results = run_benchmarks( decoders_to_run, video_paths, num_uniform_samples, @@ -176,7 +179,21 @@ def main() -> None: benchmark_video_creation=args.bm_video_creation, batch_parameters=BatchParameters(num_threads=8, batch_size=40), ) - plot_data(df_data, args.plot_path) + data = { + "experiments": results, + "system_metadata": { + "cpu_count": os.cpu_count(), + "system": platform.system(), + "machine": platform.machine(), + "python_version": str(platform.python_version()), + "cuda": ( + torch.cuda.get_device_properties(0).name + if torch.cuda.is_available() + else "not available" + ), + }, + } + plot_data(data, args.plot_path) if __name__ == "__main__": diff --git a/benchmarks/decoders/benchmark_decoders_library.py b/benchmarks/decoders/benchmark_decoders_library.py index 2eb9f893..8876a09d 100644 --- a/benchmarks/decoders/benchmark_decoders_library.py +++ b/benchmarks/decoders/benchmark_decoders_library.py @@ -35,17 +35,28 @@ def __init__(self): pass @abc.abstractmethod - def get_frames_from_video(self, video_file, pts_list): + def decode_frames(self, video_file, pts_list): pass + def decode_frames_description(self, num_frames: int, kind: str) -> str: + return f"decode {num_frames} {kind} frames" + @abc.abstractmethod - def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + def decode_first_n_frames(self, video_file, n): pass + def decode_first_n_frames_description(self, n) -> str: + return f"first {n} frames" + @abc.abstractmethod - def decode_and_transform(self, video_file, pts_list, height, width, device): + def decode_and_resize(self, video_file, pts_list, height, width, device): pass + def decode_and_resize_description( + self, num_frames: int, height: int, width: int + ) -> str: + return f"decode {num_frames} -> {height}x{width}" + class DecordAccurate(AbstractDecoder): def __init__(self): @@ -54,7 +65,7 @@ def __init__(self): self.decord = decord self.decord.bridge.set_bridge("torch") - def get_frames_from_video(self, video_file, pts_list): + def decode_frames(self, video_file, pts_list): decord_vr = self.decord.VideoReader(video_file, ctx=self.decord.cpu()) frames = [] fps = decord_vr.get_avg_fps() @@ -64,10 +75,10 @@ def get_frames_from_video(self, video_file, pts_list): frames.append(frame) return frames - def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + def decode_first_n_frames(self, video_file, n): decord_vr = self.decord.VideoReader(video_file, ctx=self.decord.cpu()) frames = [] - for _ in range(numFramesToDecode): + for _ in range(n): frame = decord_vr.next() frames.append(frame) return frames @@ -80,15 +91,15 @@ def __init__(self): self.decord = decord self.decord.bridge.set_bridge("torch") - def get_frames_from_video(self, video_file, pts_list): + def decode_frames(self, video_file, pts_list): decord_vr = self.decord.VideoReader(video_file, ctx=self.decord.cpu()) average_fps = decord_vr.get_avg_fps() indices_list = [int(pts * average_fps) for pts in pts_list] return decord_vr.get_batch(indices_list) - def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + def decode_first_n_frames(self, video_file, n): decord_vr = self.decord.VideoReader(video_file, ctx=self.decord.cpu()) - indices_list = list(range(numFramesToDecode)) + indices_list = list(range(n)) return decord_vr.get_batch(indices_list) @@ -102,7 +113,7 @@ def __init__(self, backend): self.torchvision = torchvision self.transforms_v2 = transforms_v2 - def get_frames_from_video(self, video_file, pts_list): + def decode_frames(self, video_file, pts_list): self.torchvision.set_video_backend(self._backend) reader = self.torchvision.io.VideoReader(video_file, "video", num_threads=0) frames = [] @@ -112,16 +123,16 @@ def get_frames_from_video(self, video_file, pts_list): frames.append(frame["data"].permute(1, 2, 0)) return frames - def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + def decode_first_n_frames(self, video_file, n): self.torchvision.set_video_backend(self._backend) reader = self.torchvision.io.VideoReader(video_file, "video", num_threads=0) frames = [] - for _ in range(numFramesToDecode): + for _ in range(n): frame = next(reader) frames.append(frame["data"].permute(1, 2, 0)) return frames - def decode_and_transform(self, video_file, pts_list, height, width, device): + def decode_and_resize(self, video_file, pts_list, height, width, device): self.torchvision.set_video_backend(self._backend) reader = self.torchvision.io.VideoReader(video_file, "video", num_threads=1) frames = [] @@ -142,7 +153,7 @@ def __init__(self, num_threads=None, color_conversion_library=None, device="cpu" self._color_conversion_library = color_conversion_library self._device = device - def get_frames_from_video(self, video_file, pts_list): + def decode_frames(self, video_file, pts_list): decoder = create_from_file(video_file) scan_all_streams_to_update_metadata(decoder) _add_video_stream( @@ -158,7 +169,7 @@ def get_frames_from_video(self, video_file, pts_list): ) return frames - def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + def decode_first_n_frames(self, video_file, n): decoder = create_from_file(video_file) _add_video_stream( decoder, @@ -168,7 +179,7 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): ) frames = [] - for _ in range(numFramesToDecode): + for _ in range(n): frame = get_next_frame(decoder) frames.append(frame) @@ -185,7 +196,7 @@ def __init__(self, num_threads=None, color_conversion_library=None, device="cpu" self.transforms_v2 = transforms_v2 - def get_frames_from_video(self, video_file, pts_list): + def decode_frames(self, video_file, pts_list): decoder = create_from_file(video_file) num_threads = int(self._num_threads) if self._num_threads else 0 _add_video_stream( @@ -203,7 +214,7 @@ def get_frames_from_video(self, video_file, pts_list): return frames - def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + def decode_first_n_frames(self, video_file, n): num_threads = int(self._num_threads) if self._num_threads else 0 decoder = create_from_file(video_file) _add_video_stream( @@ -214,13 +225,13 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): ) frames = [] - for _ in range(numFramesToDecode): + for _ in range(n): frame = get_next_frame(decoder) frames.append(frame) return frames - def decode_and_transform(self, video_file, pts_list, height, width, device): + def decode_and_resize(self, video_file, pts_list, height, width, device): num_threads = int(self._num_threads) if self._num_threads else 1 decoder = create_from_file(video_file) _add_video_stream( @@ -251,7 +262,7 @@ def __init__(self, num_threads=None, color_conversion_library=None, device="cpu" self._color_conversion_library = color_conversion_library self._device = device - def get_frames_from_video(self, video_file, pts_list): + def decode_frames(self, video_file, pts_list): decoder = create_from_file(video_file) scan_all_streams_to_update_metadata(decoder) _add_video_stream( @@ -267,7 +278,7 @@ def get_frames_from_video(self, video_file, pts_list): ) return frames - def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + def decode_first_n_frames(self, video_file, n): decoder = create_from_file(video_file) scan_all_streams_to_update_metadata(decoder) _add_video_stream( @@ -278,7 +289,7 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): ) metadata = json.loads(get_json_metadata(decoder)) best_video_stream = metadata["bestVideoStreamIndex"] - indices_list = list(range(numFramesToDecode)) + indices_list = list(range(n)) frames, *_ = get_frames_at_indices( decoder, stream_index=best_video_stream, frame_indices=indices_list ) @@ -294,7 +305,7 @@ def __init__(self, num_ffmpeg_threads=None, device="cpu"): self.transforms_v2 = transforms_v2 - def get_frames_from_video(self, video_file, pts_list): + def decode_frames(self, video_file, pts_list): num_ffmpeg_threads = ( int(self._num_ffmpeg_threads) if self._num_ffmpeg_threads else 0 ) @@ -303,7 +314,7 @@ def get_frames_from_video(self, video_file, pts_list): ) return decoder.get_frames_played_at(pts_list) - def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + def decode_first_n_frames(self, video_file, n): num_ffmpeg_threads = ( int(self._num_ffmpeg_threads) if self._num_ffmpeg_threads else 0 ) @@ -315,11 +326,11 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): for frame in decoder: frames.append(frame) count += 1 - if count == numFramesToDecode: + if count == n: break return frames - def decode_and_transform(self, video_file, pts_list, height, width, device): + def decode_and_resize(self, video_file, pts_list, height, width, device): num_ffmpeg_threads = ( int(self._num_ffmpeg_threads) if self._num_ffmpeg_threads else 1 ) @@ -346,7 +357,7 @@ class TorchCodecCoreCompiled(AbstractDecoder): def __init__(self): pass - def get_frames_from_video(self, video_file, pts_list): + def decode_frames(self, video_file, pts_list): decoder = create_from_file(video_file) _add_video_stream(decoder) frames = [] @@ -355,11 +366,11 @@ def get_frames_from_video(self, video_file, pts_list): frames.append(frame) return frames - def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + def decode_first_n_frames(self, video_file, n): decoder = create_from_file(video_file) _add_video_stream(decoder) frames = [] - for _ in range(numFramesToDecode): + for _ in range(n): frame = compiled_next(decoder) frames.append(frame) return frames @@ -375,7 +386,7 @@ def __init__(self): self.transforms_v2 = transforms_v2 - def get_frames_from_video(self, video_file, pts_list): + def decode_frames(self, video_file, pts_list): stream_reader = self.torchaudio.io.StreamReader(src=video_file) stream_reader.add_basic_video_stream( frames_per_chunk=1, decoder_option={"threads": "0"} @@ -388,7 +399,7 @@ def get_frames_from_video(self, video_file, pts_list): frames.append(clip[0][0]) return frames - def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + def decode_first_n_frames(self, video_file, n): stream_reader = self.torchaudio.io.StreamReader(src=video_file) stream_reader.add_basic_video_stream( frames_per_chunk=1, decoder_option={"threads": "0"} @@ -396,14 +407,14 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): frames = [] frame_cnt = 0 for vframe in stream_reader.stream(): - if frame_cnt >= numFramesToDecode: + if frame_cnt >= n: break frames.append(vframe[0][0]) frame_cnt += 1 return frames - def decode_and_transform(self, video_file, pts_list, height, width, device): + def decode_and_resize(self, video_file, pts_list, height, width, device): stream_reader = self.torchaudio.io.StreamReader(src=video_file) stream_reader.add_basic_video_stream( frames_per_chunk=1, decoder_option={"threads": "1"} @@ -421,7 +432,7 @@ def decode_and_transform(self, video_file, pts_list, height, width, device): return frames -def create_torchcodec_decoder_from_file(video_file): +def create_torchcodec_core_decode_first_frame(video_file): video_decoder = create_from_file(video_file) _add_video_stream(video_decoder) get_next_frame(video_decoder) @@ -562,9 +573,10 @@ def plot_data(json_data, plot_path): for col in range(video_type_combinations[unique_videos[row]], max_combinations): fig.delaxes(axes[row, col]) + # Stamp the metadata for the experimental system on the chart. plt.gcf().text( 0.005, - 0.87, + 0.013, "\n".join([f"{k}: {v}" for k, v in json_data["system_metadata"].items()]), fontsize=11, bbox=dict(facecolor="white"), @@ -664,8 +676,17 @@ def run_benchmarks( if dataloader_parameters: bp = dataloader_parameters.batch_parameters + description = ( + f"concurrency {bp.num_threads}" + f"batch {bp.batch_size}" + + decoder.decode_and_resize_description( + num_samples, + dataloader_parameters.resize_height, + dataloader_parameters.resize_width, + ) + ) dataloader_result = benchmark.Timer( - stmt="run_batch_using_threads(decoder.decode_and_transform, video_file, pts_list, height, width, device, batch_parameters=batch_parameters)", + stmt="run_batch_using_threads(decoder.decode_and_resize, video_file, pts_list, height, width, device, batch_parameters=batch_parameters)", globals={ "video_file": str(video_file_path), "pts_list": uniform_pts_list, @@ -678,11 +699,9 @@ def run_benchmarks( }, label=f"video={video_file_path} {metadata_label}", sub_label=decoder_name, - description=f"concurrent[threads={bp.num_threads},batch_size={bp.batch_size}] {num_samples} decode_and_transform()", - ) - print( - f"{decoder_name} concurrent[threads={bp.num_threads} batch_size={bp.batch_size}]" + description=description, ) + print(description) results.append( dataloader_result.blocked_autorange( min_run_time=min_runtime_seconds @@ -694,7 +713,7 @@ def run_benchmarks( decoder_name, video_file_path, num_samples * dataloader_parameters.batch_parameters.batch_size, - f"concurrent[threads={bp.num_threads} batch_size={bp.batch_size}] {num_samples} x decode_and_transform()", + description, ) ) @@ -707,7 +726,7 @@ def run_benchmarks( f"video={video_file_path}, decoder={decoder_name}, pts_list={pts_list}" ) seeked_result = benchmark.Timer( - stmt="decoder.get_frames_from_video(video_file, pts_list)", + stmt="decoder.decode_frames(video_file, pts_list)", globals={ "video_file": str(video_file_path), "pts_list": pts_list, @@ -715,9 +734,11 @@ def run_benchmarks( }, label=f"video={video_file_path} {metadata_label}", sub_label=decoder_name, - description=f"{kind} {num_samples} seek()+next()", + description=decoder.decode_frames_description(num_samples, kind), + ) + print( + f"{decoder_name} {decoder.decode_frames_description(num_samples, kind)}" ) - print(f"{decoder_name} {kind} {num_samples} seek()+next()") results.append( seeked_result.blocked_autorange(min_run_time=min_runtime_seconds) ) @@ -727,13 +748,13 @@ def run_benchmarks( decoder_name, video_file_path, num_samples, - f"{num_samples} x {kind} seek()+next()", + decoder.decode_frames_description(num_samples, kind), ) ) if batch_parameters: seeked_result = benchmark.Timer( - stmt="run_batch_using_threads(decoder.get_frames_from_video, video_file, pts_list, batch_parameters=batch_parameters)", + stmt="run_batch_using_threads(decoder.decode_frames, video_file, pts_list, batch_parameters=batch_parameters)", globals={ "video_file": str(video_file_path), "pts_list": pts_list, @@ -743,9 +764,13 @@ def run_benchmarks( }, label=f"video={video_file_path} {metadata_label}", sub_label=decoder_name, - description=f"batch {kind} {num_samples} seek()+next()", + description=decoder.decode_frames_description( + num_samples, kind + ), + ) + print( + f"{decoder_name} batch {decoder.decode_frames_description(num_samples, kind)}" ) - print(f"{decoder_name} batch {kind} {num_samples} seek()+next()") results.append( seeked_result.blocked_autorange( min_run_time=min_runtime_seconds @@ -757,23 +782,25 @@ def run_benchmarks( decoder_name, video_file_path, num_samples * batch_parameters.batch_size, - f"batch {kind} seek()+next()", + decoder.decode_frames_description(num_samples, kind), ) ) - for num_consecutive_nexts in num_sequential_frames_from_start: + for num_frames in num_sequential_frames_from_start: consecutive_frames_result = benchmark.Timer( - stmt="decoder.get_consecutive_frames_from_video(video_file, consecutive_frames_to_extract)", + stmt="decoder.decode_first_n_frames(video_file, n)", globals={ "video_file": str(video_file_path), - "consecutive_frames_to_extract": num_consecutive_nexts, + "n": num_frames, "decoder": decoder, }, label=f"video={video_file_path} {metadata_label}", sub_label=decoder_name, - description=f"{num_consecutive_nexts} next()", + description=decoder.decode_first_n_frames_description(num_frames), + ) + print( + f"{decoder_name} {decoder.decode_first_n_frames_description(num_frames)}" ) - print(f"{decoder_name} {num_consecutive_nexts} next()") results.append( consecutive_frames_result.blocked_autorange( min_run_time=min_runtime_seconds @@ -784,26 +811,30 @@ def run_benchmarks( results[-1], decoder_name, video_file_path, - num_consecutive_nexts, - f"{num_consecutive_nexts} next()", + num_frames, + decoder.decode_first_n_frames_description(num_frames), ) ) if batch_parameters: consecutive_frames_result = benchmark.Timer( - stmt="run_batch_using_threads(decoder.get_consecutive_frames_from_video, video_file, consecutive_frames_to_extract, batch_parameters=batch_parameters)", + stmt="run_batch_using_threads(decoder.decode_first_n_frames, video_file, n, batch_parameters=batch_parameters)", globals={ "video_file": str(video_file_path), - "consecutive_frames_to_extract": num_consecutive_nexts, + "n": num_frames, "decoder": decoder, "run_batch_using_threads": run_batch_using_threads, "batch_parameters": batch_parameters, }, label=f"video={video_file_path} {metadata_label}", sub_label=decoder_name, - description=f"batch {num_consecutive_nexts} next()", + description=decoder.decode_first_n_frames_description( + num_frames + ), + ) + print( + f"{decoder_name} batch {decoder.decode_first_n_frames_description(num_frames)}" ) - print(f"{decoder_name} batch {num_consecutive_nexts} next()") results.append( consecutive_frames_result.blocked_autorange( min_run_time=min_runtime_seconds @@ -814,8 +845,8 @@ def run_benchmarks( results[-1], decoder_name, video_file_path, - num_consecutive_nexts * batch_parameters.batch_size, - f"batch {num_consecutive_nexts} next()", + num_frames * batch_parameters.batch_size, + decoder.decode_first_n_frames_description(num_frames), ) ) @@ -824,14 +855,14 @@ def run_benchmarks( metadata = get_metadata(video_file_path) metadata_label = f"{metadata.codec} {metadata.width}x{metadata.height}, {metadata.duration_seconds}s {metadata.average_fps}fps" creation_result = benchmark.Timer( - stmt="create_torchcodec_decoder_from_file(video_file)", + stmt="create_torchcodec_core_decode_first_frame(video_file)", globals={ "video_file": str(first_video_file_path), - "create_torchcodec_decoder_from_file": create_torchcodec_decoder_from_file, + "create_torchcodec_core_decode_first_frame": create_torchcodec_core_decode_first_frame, }, label=f"video={first_video_file_path} {metadata_label}", sub_label="TorchCodecCore", - description="create()+next()", + description="create decode first", ) results.append( creation_result.blocked_autorange( diff --git a/benchmarks/decoders/benchmark_readme_chart.png b/benchmarks/decoders/benchmark_readme_chart.png index 37eb6cdf3caebb712b6a2d0278a65beb2f8faed1..84002bd56a8e46633f3b679f4dcfe46789da2a63 100644 GIT binary patch literal 163507 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